Agoda

Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)

Agoda Bangkok

Full-time On-site Mid level Marketing

Salary not disclosed

Posted 25 days ago · 196 views

Applications close on 13 Nov 2026

How to apply

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About the role

Hiring employer: Agoda

Note: Bangkok-based role; relocation provided per posting title.

We are looking for a hands-on analyst and product builder who can operate at the intersection of Marketing, data, product development and generative AI.

Responsibilities

  • Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability or decision-making.
  • Quantify each opportunity by establishing its current effort, pain points, user base and potential business value.
  • Translate business needs into clear product requirements, user journeys, milestones and measurable success criteria.
  • Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
  • Partner with developers, Technology teams and sponsoring Marketing teams to turn successful prototypes into reliable products.
  • Design evaluation frameworks covering output accuracy, reliability, usability, safety and appropriate human review.
  • Lead user research, pilots and iterative testing with analysts, channel specialists and other target users.
  • Drive rollout, documentation, training and adoption in partnership with sponsoring teams.
  • Measure hours saved, improvements in turnaround time and quality, adoption levels and downstream business impact.
  • Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings and recommendations to senior stakeholders.
  • Monitor developments in AI capabilities and identify when existing products should be improved, expanded or retired.
  • Contribute reusable tools, standards and playbooks that help Marketing teams build better AI-enabled workflows independently.

How to apply: Apply here: https://job-boards.greenhouse.io/agoda/jobs/8175781 Apply via the company posting: https://job-boards.greenhouse.io/agoda/jobs/8175781

Source: company careers page

Company website: https://www.agoda.com/

Requirements

- 2–4 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management or a related field. - Bachelor’s degree or higher in a quantitative, technical or business discipline such as computer science, engineering, mathematics, statistics, economics or finance. - Strong SQL skills and experience working independently with large or complex datasets. - Hands-on experience with Python, scripting, workflow automation or similar technical tools. - Experience defining hypotheses, designing experiments and translating results into actionable business recommendations. - Strong product thinking, including the ability to understand user problems, define requirements and make pragmatic scope and prioritization decisions. - Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution. - Strong written and verbal communication skills in English. - Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences. - A strong sense of ownership, attention to detail and commitment to delivering high-quality, dependable solutions. - Ability to collaborate effectively across Marketing, Analytics, Product and Technology teams. - Experience building GenAI applications, AI agents or automated analytical workflows. - Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation and human-in-the-loop workflows. - Experience using AI-assisted development tools such as Codex, Cursor, Claude Code or Google AI Studio. Nice to have: - Experience writing product requirements, managing a product backlog or taking an internal product from prototype to scaled adoption. - Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations or personalization. - Experience establishing quality-assurance and monitoring processes for data or AI products. - Experience deploying internal tools or working closely with software engineers on production systems.